Warsaw Open 2014


Information
Events
Main event
Competitors
130
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Highlights
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Tomasz Żołnowski won with an average of 9.76 seconds in the 3x3x3 Cube event. Marcin Zalewski finished second (10.67) and Dmitry Aniskin finished third (10.75).

European records: Jakub Kipa‎ 3x3x3 With Feet 36.21 (average); Patryk Szewczyk‎ Skewb 8.68 (average).

3x3x3 Cube

# Name Best Average Representing Solves
1 Tomasz Żołnowski 9.42 9.76 Poland 10.009.4210.739.499.79
2 Marcin Zalewski 10.25 10.67 Poland 11.6510.2710.4510.2511.28
3 Dmitry Aniskin 9.47 10.75 Russia 10.9810.0813.109.4711.20

2x2x2 Cube

# Name Best Average Representing Solves
1 Jakub Wolniewicz 2.06 2.69 Poland 3.942.842.083.162.06
2 Jakub Kipa 2.07 2.97 Poland 3.673.752.072.722.52
3 Mateusz Fydrych 2.81 3.05 Poland 2.995.932.813.053.11

4x4x4 Cube

# Name Best Average Representing Solves
1 Michał Halczuk 39.56 40.61 Poland 39.5640.1341.3640.9440.75
2 Hunor Bózsing 42.97 44.28 Hungary 44.1643.6642.9745.024:45.22
3 Jakub Kipa 37.43 46.83 Poland 48.5637.4347.8854.5644.06

5x5x5 Cube

# Name Best Average Representing Solves
1 Michał Halczuk 1:02.36 1:14.71 Poland 1:24.801:08.801:02.361:24.111:11.21
2 Marcin Zalewski 1:10.30 1:22.42 Poland 1:36.101:20.861:27.491:10.301:18.92
3 Hunor Bózsing 1:18.88 1:25.35 Hungary 1:27.531:23.381:25.131:31.411:18.88

6x6x6 Cube

# Name Best Average Representing Solves
1 Michał Halczuk 2:19.05 2:21.45 Poland 2:19.052:24.002:21.30
2 Cezary Rokita 2:38.61 2:46.07 Poland 2:57.082:42.532:38.61
3 Hunor Bózsing 2:45.59 2:46.31 Hungary 2:46.502:46.832:45.59

7x7x7 Cube

# Name Best Average Representing Solves
1 Michał Halczuk 2:53.43 3:10.35 Poland 3:15.813:21.812:53.43
2 Cezary Rokita 3:33.52 4:01.33 Poland 4:34.303:56.183:33.52
3 Hunor Bózsing 3:43.15 4:07.15 Hungary 4:05.613:43.154:32.68

3x3x3 Blindfolded

# Name Best Average Representing Solves
1 Grzegorz Jałocha 35.09 DNF Poland DNF35.0935.90
2 Marcin Kowalczyk 37.66 DNF Poland DNFDNF37.66
3 István Kocza 1:11.68 1:22.35 Hungary 1:13.721:41.651:11.68

3x3x3 Fewest Moves

# Name Best Average Representing Solves
1 Marcin Zalewski 36 Poland 36
2 Jakub Cabaj 37 Poland 37
3 Dmitry Aniskin 39 Russia 39
3 Hunor Bózsing 39 Hungary 39

3x3x3 One-Handed

# Name Best Average Representing Solves
1 Hunor Bózsing 12.84 15.86 Hungary 17.0514.4712.8417.3016.06
2 Jakub Wolniewicz 15.00 16.13 Poland 15.8017.3317.3115.0015.27
3 Marcin Zalewski 16.47 18.38 Poland 17.3823.7917.5020.2516.47

Clock

# Name Best Average Representing Solves
1 Wojciech Włodarczyk 9.65 10.03 Poland 9.659.8310.2712.4410.00
2 Niki Placskó 8.63 11.02 Hungary 12.2211.9110.638.6310.53
3 Olivér Perge 10.18 11.82 Hungary 12.3811.6911.5910.1812.18

Megaminx

# Name Best Average Representing Solves
1 Kamil Zieliński 1:06.02 1:09.85 Poland 1:11.521:20.381:09.711:06.021:08.31
2 Kamil Galicki 1:11.53 1:15.64 Poland 1:17.781:16.341:12.801:18.781:11.53
3 Michał Halczuk 1:02.81 1:18.46 Poland 1:36.561:02.811:12.631:19.111:23.63

Pyraminx

# Name Best Average Representing Solves
1 Mateusz Cichoracki 4.06 4.33 Poland 4.164.544.064.304.58
2 Jakub Wolniewicz 3.55 4.78 Poland 3.555.314.914.275.15
3 Piotr Pojda 3.71 5.32 Poland 4.315.226.437.753.71

Skewb

# Name Best Average Representing Solves
1 Patryk Szewczyk 6.96 8.68 ER Poland 10.347.1912.918.506.96
2 Marcin Stachura 8.63 10.40 Poland 14.8910.2712.218.638.72
3 Dmitry Aniskin 9.96 NR 10.53 NR Russia 9.9610.4410.5910.55DNF

Square-1

# Name Best Average Representing Solves
1 Piotr Michał Padlewski 11.94 17.22 Poland 18.1919.0517.2116.2511.94
2 Michał Halczuk 13.31 17.52 Poland 20.4014.7513.3129.1117.41
3 Jakub Cabaj 28.16 35.37 Poland 37.0828.161:24.7533.1135.93

3x3x3 Multi-Blind

# Name Best Average Representing Solves
1 Marcin Kowalczyk 28/32 53:24 Poland 28/32 53:24DNF
2 Grzegorz Jałocha 13/15 48:45 Poland 16/25 59:4913/15 48:45
3 Jan Hetman 5/5 45:52 Poland 3/4 29:485/5 45:52

3x3x3 With Feet

# Name Best Average Representing Solves
1 Jakub Kipa 33.91 36.21 ER Poland 35.7833.9138.94
2 Mateusz Fydrych 1:31.72 2:28.93 Poland 1:31.721:53.504:01.58
3 Tomasz Piechowski 2:23.97 3:03.42 Poland 2:23.973:50.372:55.93
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